Data Architect
3 weeks ago
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- Job by industries
Key Responsibilities:
- Assess business needs and align operational plans with business objectives.
- Develop and implement business intelligence security strategies and operational plans.
- Design and architect BI solutions, ensuring alignment with business objectives and data management best practices.
- Lead the design, development, and modification of data infrastructure to accelerate data analysis and reporting processes.
- Ensure data quality and consistency across Data solutions.
- Inform security measures to protect Data assets and ensure compliance with data protection regulations.
- Evaluate and incorporate emerging Data technologies and trends.
- Oversee the design of data integration processes and ETL workflows.
- Establish and maintain strong partnerships with key stakeholders.
- Manage vendor relationships to ensure alignment with business needs.
- Define and track key performance indicators (KPIs) for the data management unit.
- Develop and guide implementation of data management governance practices to ensure compliance with industry standards and regulatory requirements.
Minimum requirements
Qualifications:
- Minimum Required: Diploma in Information Studies, Information Technology, Systems Engineering, or an equivalent relevant qualification.
- Preferred: Degree in the above fields.
Experience:
- 10 years of experience in the IT environment, with 2 years or more in a senior technical lead role.
- Strong knowledge of Data Governance and Analysis, Intelligence/Data Analytics principles, tools, and best practices.
- Working knowledge of programming and statistical computer languages (Python, SQL, R etc.) and cutting-edge data quality management solutions.
- Strong knowledge of regulatory requirements such as Data Privacy and Protection of Personal Information Act (POPIA).
- Strong knowledge of Data Architecture approaches to Data Warehousing eg. Kimbal, DataLake, Lakehouse, Data Bricks etc
- Competent with approaches, platforms for big data use cases in the cloud.
- Competent with DevOps practices in Data development (MLOps advantageous).
- Research / Data Analysis jobs
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